Work + Social Inequality Research Fellow Opportunity

Harvard University
Cambridge, Massachusetts
Competitive And Commensurate with Experience
Posted Date
Jan 31, 2023

Work + Social Inequality Research Fellow Opportunity

Department of Sociology, Harvard University

About the Position

Professors David Pedulla and Daniel Schneider (Department of Sociology and Harvard Kennedy School, Harvard University) are recruiting one full-time predoctoral research fellow to start in summer 2023. The fellow will support and collaborate on multiple survey and experimental projects related to work and social inequality, assist with data cleaning and analysis, and contribute to research reports and papers.

The successful applicant will receive mentoring from faculty and have access to a broad range of activities at Harvard. This opportunity is likely to provide experience that will be particularly relevant for individuals interested in pursuing a PhD in Sociology, Psychology, Economics, or Public Policy.

This position is based in the Department of Sociology at Harvard University in Cambridge, MA. Appointment terms for Fellows are for one year with the strong potential for a second year renewal. Preference will be given to applicants who have availability to work for two years.

About the Sociology Department

Founded in the 1930s, the Department of Sociology at Harvard has a rich tradition of fundamental contributions to social science. Whether the grand theory of Talcott Parsons, the social networks of Harrison White, or the urban inequality research of William Julius Wilson, every era in the department’s history has shaped social inquiry on an international scale. Consistently ranked as one of the top sociology departments in the country, the Department of Sociology at Harvard is known around the world for its excellence in research and teaching.


  • Assist with survey data collection by preparing online survey instruments, facilitating survey recruitment, and processing survey data
  • Assist with designing, implementing, and analyzing field experiments and survey experiments related to work, social inequality, discrimination, and bias
  • Conduct statistical analyses of data and process and clean raw data using Stata
  • Prepare literature reviews, background research, and other content for grant proposals and academic papers
  • Assist in coordinating research teams that include professors, post-docs, graduate students, and undergraduate students



  • Bachelor’s or Master’s Degree in Sociology, Psychology, Public Policy, Economics, or related field
  • Outstanding organizational and time management skills
  • Distinguished academic record
  • Significant research interest in sociology, inequality, labor, and public policy
  • Strong written and oral communication skills
  • Proficiency programming in Stata


  • Experience creating surveys in Qualtrics
  • Experience with R and/or Python
  • Prior experience as a research assistant or fellow in sociology, labor studies, public policy, or economics
  • Experience with citation management software, preferably Endnote or Zotero

Salary is competitive and commensurate with experience and is benefits eligible. Applicants should submit:

    CV/Resume Cover letter Official or unofficial transcripts for all degrees earned or underway An excerpt from a single-authored academic writing sample (no more than 5 pages in length) Brief coding sample in Stata Contact information for three academic or professional references
Evaluation Process Applications are reviewed on a rolling basis and will not be considered complete until all elements  are received. The final application deadline is March 1, 2023. Applicants selected to move forward in the recruitment process may be required to complete a technical exercise and participate in multiple interviews.

Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.

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